Agentic workflows are transforming enterprise AI by enabling systems to act autonomously, driving significant changes across infrastructure, security, hybrid cloud, development, and digital engagement. AWS is at the forefront of this shift, with its leadership summit showcasing the potential of agentic workflows in various industries.
AWS is building a new class of agentic workflows where humans collaborate with AI assistants to manage, orchestrate, and transform daily operations. This approach is expected to boost productivity and efficiency across enterprise applications. The rise of S3 metadata tables is also transforming how enterprises find and activate data for AI, enabling faster discovery and automation.
Metadata is becoming a key layer powering agentic workflows and governance at scale. Security-first data platforms are powering agentic workflows, with companies like Cohesity integrating data protection, security, and AI to provide a secure foundation for autonomous data-driven operations.
Agentic workflows are redefining digital engagement, enabling hyper-personalized marketing at scale. AWS is leveraging AI to meet customers where they are with data-fueled precision. The company is also reimagining data centers as intelligent, power-optimized compute factories built to handle the surging demands of generative AI.
In retail, computer vision and agentic workflows are redefining the industry, with technologies like Amazon's Just Walk Out blending computer vision and edge AI to boost revenue, reduce theft, and simplify operations. Agentic workflows are also powering a new era of sports media, with AI tools helping creators work faster and smarter.
Amazon QuickSight is transforming business intelligence by enabling business users to ask questions and get multi-visual insights instantly. Generative BI is accelerating decision-making across enterprise teams. As agentic workflows continue to evolve, they are expected to have a significant impact on various industries, driving innovation and efficiency.
